Papers by Xingyu Tan
Building LLMs Like LEGO: Two-dimensional Architecture Reassembly of Large Language Models (2026.acl-long)
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| Challenge: | Existing approaches to LLM reuse treat LLMs as monolithic artifacts. |
| Approach: | They propose to recompose pretrained large language models as modular building blocks . they propose a chromosome-based architectural encoding and evolutionary optimization . |
| Outcome: | The proposed model can be recomposed as modular building blocks without training data. |
End-to-End Open-Domain Question Answering with BERTserini (N19-4)
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| Challenge: | a new open-domain question answering system integrates best practices from IR with a BERT-based reader to identify answers from a large corpus of Wikipedia articles. |
| Approach: | They propose an end-to-end question answering system that integrates BERT with an IR reader. |
| Outcome: | The proposed system improves on a standard benchmark test collection. |
HydraRAG: Structured Cross-Source Enhanced Large Language Model Reasoning (2025.emnlp-main)
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| Challenge: | Current RAG system retrieves evidence from knowledge graphs and text documents but has limitations in multi-hop reasoning, multi-entity questions, and source verification. |
| Approach: | They propose a training-free framework that unifies graph topology, document semantics, and source reliability to support deep, faithful reasoning in large language models. |
| Outcome: | The proposed framework outperforms the current hybrid model-based model-driven system by 20.3% and 30.1% on seven benchmark datasets. |